Suppr超能文献

巴黎公立医院集团健康数据空间(AHDS)在新冠疫情中的检验。

AP-HP Health Data Space (AHDS) to the Test of the Covid-19 Pandemic.

机构信息

Innovation and Data, IT Department, AP-HP, Paris, France.

LIMICS, F-75006, Paris, France.

出版信息

Stud Health Technol Inform. 2022 May 25;294:28-32. doi: 10.3233/SHTI220390.

Abstract

UNLABELLED

Sharing observational and interventional health data within a common data space enables university hospitals to leverage such data for biomedical discovery and moving towards a learning health system.

OBJECTIVE

To describe the AP-HP Health Data Space (AHDS) and the IT services supporting piloting, research, innovation and patient care.

METHODS

Built on three pillars - governance and ethics, technology and valorization - the AHDS and its major component, the Clinical Data Warehouse (CDW) have been developed since 2015.

RESULTS

The AP-HP CDW has been made available at scale to AP-HP both healthcare professionals and public or private partners in January 2017. Supported by an institutional secured and high-performance cloud and an ecosystem of tools, mostly open source, the AHDS integrates a large amount of massive healthcare data collected during care and research activities. As of December 2021, the AHDS operates the electronic data capture for almost +840 clinical trials sponsored by AP-HP, the CDW is enabling the processing of health data from more than 11 million patients and generated +200 secondary data marts from IRB authorized research projects. During the Covid-19 pandemic, AHDS has had to evolve quickly to support administrative professionals and caregivers heavily involved in the reorganization of both patient care and biomedical research.

CONCLUSION

The AP-HP Data Space is a key facilitator for data-driven evidence generation and making the health system more efficient and personalized.

摘要

未加标签

在通用数据空间内共享观察性和干预性健康数据,使大学附属医院能够利用这些数据进行生物医学发现,并朝着学习型健康系统迈进。

目的

描述 AP-HP 健康数据空间(AHDS)及其支持试点、研究、创新和患者护理的 IT 服务。

方法

基于治理和伦理、技术和评估三个支柱,AHDS 及其主要组成部分临床数据仓库(CDW)自 2015 年以来一直在开发中。

结果

AP-HP CDW 于 2017 年 1 月在规模上向 AP-HP 的医疗保健专业人员以及公共或私人合作伙伴提供。该系统由一个机构安全且高性能的云以及一个由大多数开源工具组成的生态系统提供支持,集成了大量在护理和研究活动中收集的大量医疗保健数据。截至 2021 年 12 月,AHDS 负责管理近 840 项由 AP-HP 赞助的临床试验的电子数据采集,CDW 能够处理来自 1100 多万患者的健康数据,并根据经 IRB 授权的研究项目生成 200 多个二级数据集市。在 COVID-19 大流行期间,AHDS 必须迅速发展,以支持行政专业人员和护理人员,他们在重新组织患者护理和生物医学研究方面发挥了重要作用。

结论

AP-HP 数据空间是促进数据驱动的证据生成和使卫生系统更高效和个性化的关键因素。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验